ChatGPT在信息总结场景中的使用技巧

在 AI 内容生成领域的“化繁为简”场景中,AI 被用来将复杂或长篇的内容简化和总结。这种应用非常有用,特别是在处理大量信息时。典型的应用场景包括:

  1. 信息总结:对大量信息进行概括和总结。
  2. 信息解释:解释和总结复杂的概念或文本。
  3. 信息提取:从一大段文字中提取关键信息和分类。

信息总结示例

信息总结通常很直接,只需在 prompt 中添加“summarize”一词。然而,为了获得特定效果,可以结合之前介绍的技巧,如增加总结示例或设定特定的角色风格。

使用特殊符号分隔指令和文本

在进行信息总结或提取时,往往涉及大量文本输入。此时,一个有效的技巧是使用特殊符号(如三个引号“`”)将指令和待处理文本分开。这种做法可以提高 AI 输出的准确性。

比如,以下是一个较为普通的信息总结 prompt:

Please summarize the following sentences to make them easier to understand.
OpenAI is an American artificial intelligence (AI) research laboratory consisting of the non-profit OpenAI Incorporated (OpenAI Inc.) and its for-profit subsidiary corporation OpenAI Limited Partnership (OpenAI LP)...

而改进后的 prompt 使用特殊符号来清晰分隔指令和文本:

Please summarize the following sentences to make them easier to understand.

Text: """
OpenAI is an American artificial intelligence (AI) research laboratory consisting of the non-profit OpenAI Incorporated (OpenAI Inc.) and its for-profit subsidiary corporation OpenAI Limited Partnership (OpenAI LP)...
"""

chatgpt_tutorial_working_scen_information_summary_1

在吴恩达的 ChatGPT Prompt Engineering 课程中,也提到了使用特殊符号分隔文本和指令的方法。例如,使用其他特殊标记(如 <><tag></tag> )来明确指令和文本的界限:

text = f"""
You should express what you want a model to do by \
providing instructions that are as clear and \
specific as you can possibly make them. \
This will guide the model towards the desired output, \
and reduce the chances of receiving irrelevant \
or incorrect responses. Don't confuse writing a \
clear prompt with writing a short prompt. \
In many cases, longer prompts provide more clarity \
and context for the model, which can lead to \
more detailed and relevant outputs.
"""

prompt = f"""
Summarize the text delimited by triple backticks into a single sentence.
`{text}`
"""

chatgpt_tutorial_working_scen_information_summary_2

这种方法对于开发允许用户输入并要求 AI 总结内容的应用特别有用。通过明确分隔指令和文本,可以确保 AI 更准确地理解用户的需求并生成相关的输出。cc

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